AI-Trained Grads Edge Out Costly Advisers at Indian Wealth Firm (www.bloomberg.com)

Dezerv, a digital wealth-management startup in India, is pivoting from the industry norm of hiring seasoned private bankers and instead plans to recruit dozens of new graduates it will train with artificial intelligence. The move responds to a tight market for experienced relationship managers and surging compensation for senior staff, aiming to scale personalized wealth advice more cheaply and rapidly by using AI-driven training and decision-support tools to bring junior hires up to client-facing competency. Technically, this signals deeper adoption of AI across client profiling, portfolio construction, risk assessment and natural-language tools for client communication and documentation—systems that can accelerate onboarding, standardize advice, and surface insights that traditionally came from human experience. For the AI/ML community it’s significant because it reframes models as not just product features but workforce multipliers that change hiring, training and governance needs. The approach promises cost efficiencies and broader access to wealth services but raises questions about trust, model robustness, regulatory oversight and the limits of automation in high-stakes, relationship-driven advice—areas where careful validation, explainability and human-in-the-loop controls will be essential.